Hannah Khelfa

As the sole Manufacturing Engineer for Sub-Assembly at AuST Manufacturing, I manage the production and optimization of critical components feeding into final assemblies. My responsibilities span process optimization, quality assurance, automation, and continuous improvement to enhance efficiency, reliability, and compliance.

I optimize workflows to reduce bottlenecks, improve cycle times, and enhance productivity, introducing solutions that improve material handling, ergonomics, and documentation clarity. I manage NCRs and SCARs, ensuring effective corrective actions and refining quality checkpoints for sub-assembly components.

I oversee a manufacturing technician, managing task priorities to ensure smooth operations and timely production support. Additionally, I lead AI programming initiatives aimed at improving quality inspection by differentiating good and bad parts, which enhances defect detection accuracy.

I design and implement solutions, including fixtures, tooling, and process modifications, to reduce waste and improve workflow, resulting in lower rework rates and better first-pass yield. I also provide machine troubleshooting and maintenance to minimize downtime and ensure continuous production.

Using Lean Manufacturing and Kaizen principles, I drive process improvements in collaboration with operators, quality engineers, and management to enhance material quality, address setbacks, and maintain smooth production flow.

Passionate about automation, AI-driven quality control, and Lean Manufacturing in medical device production, I am committed to continuous learning, growth, and driving innovation within the industry.

• Oversee the production and optimization of sub-assembly components critical to the final assembly of medical devices.
• Spearhead process optimization initiatives to improve cycle times, reduce bottlenecks, and increase overall productivity across multiple sub-assembly lines.
• Implement Lean Manufacturing principles and Kaizen strategies to drive continuous improvements, resulting in reduced waste, enhanced ergonomics, and increased efficiency in production operations.
• Lead efforts to streamline documentation, ensuring clear and concise work instructions that reduce errors and improve training and compliance.
• Complete Non-Conformance Reports (NCRs) and Supplier Corrective Action Requests (SCARs), addressing component-related quality issues and ensuring corrective actions are effectively implemented.

• SolidWorks, CAD Certification, 4 years
• General Machine-Building Certification

• MATLAB, 4 years
• LabView, 1 year
• Arduino, 1 year
• FEBIO, 1 year
• Java, experience
• Python, experience

• Graduate Research, Project Based Master’s Degree “Novel tendon-stimulating device”, The project consisted of the mechanization of locomotor training (LT) for gait rehabilitation in patients with incomplete spinal cord injury., Included aspects such as material selection (under a budget), design specifications, device design, building (hardware and software components), programming, device set-up, establishing measurement systems, testing, data acquisition, data analysis, and reports/presentations., Professor Sanford Meek
• Undergraduate Thesis, University of Utah, The project consisted of the use of high intensity ultrasound to ablate tremor related in the thalamus to successfully prevent the symptom of uncontrolled shaking in patients., Analysis of the acquired data using MATLAB., Professor Viola Reiks

• Completed courses in Regulatory Affairs
• Engineering Aspects Clinical Medicine
• Neural Engineering
• Data Science for BME
• Computational Neuroscience
• Biomaterials II
• Systems Neuroscience
• Biodesign I-II
• Cell & Tissue Engineering
• Manufacturing for Engineers
• Micromachining
• Biomechanics II
• Computational Biomechanics
• Robotics Grad Seminar

Volunteer Work  

• Community Tutor: College-Preparation (08/2017-2023)

• First Utah Robotics: Board Set up (2016 & 04/2017)

• Teacher at Sunday School (08/2015-05/2016)

• Annual Community Food and Clothes Drive

Research 

• Graduate Research: Project Based Master’s Degree “Novel tendon-stimulating device” o The project consisted of the mechanization of locomotor training (LT) for gait rehabilitation in patients with incomplete spinal cord injury.

➢ Role: included aspects such as material selection (under a budget), design specifications, device design, building (hardware and software components), programming, device set-up, establishing measurement systems, testing, data acquisition, data analysis, and reports/presentations.

➢ Completed under supervision of Professor Sanford Meek.

• Undergraduate Thesis Completed at the University of Utah o The project consisted of the use of high intensity ultrasound to ablate tremor related in the thalamus to successfully prevent the symptom of uncontrolled shaking in patients.

➢ Role: Analysis of the acquired data using MATLAB.

Completed under supervision of Professor Viola Reiks.